34th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC)

Author(s)

Lew Yi LeeE., ChavarriagaR., ZhangH., SeeckM., Millán J. del R.

Address

San Diego, USA

Publication state

Published

Issued date

2012

Peer-reviewed

Oui

Language

english

Notes

EPFL-CONF-177809August 28 - September 1, 2012

Abstract

Neural signatures of humans' movement intention can beexploited by future neuroprosthesis. We propose a methodfor detecting self-paced upper limb movement intentionfrom brain signals acquired with both invasive andnoninvasive methods. In the first study with scalpelectroencephalograph (EEG) signals from healthycontrols, we report single trial detection of movementintention using movement related potentials (MRPs) in afrequency range between 0.1 to 1 Hz. Movement intentioncan be detected above chance level (p<0.05) on average460 ms before the movement onset with low detection rateduring the on-movement intention period. Usingintracranial EEG (iEEG) from one epileptic subject, wedetect movement intention as early as 1500 ms beforemovement onset with accuracy above 90% using electrodesimplanted in the bilateral supplementary motor area(SMA). The coherent results obtained with non-invasiveand invasive method and its generalization capabilitiesacross different days of recording, strengthened thetheory that self-paced movement intention can be detectedbefore movement initiation for the advancement inrobot-assisted neurorehabilitation.